Atsriku Christian, Benz Christopher C, Scott Gary K, Gibson Bradford W, Baldwin Michael A
Buck Institute for Age Research, Novato, California 94945, USA.
Anal Chem. 2007 Apr 15;79(8):3083-90. doi: 10.1021/ac062154o. Epub 2007 Mar 21.
Redox-dependent modifications of sulfhydryl groups within the two Cys4 zinc fingers of the estrogen receptor DNA-binding domain (ER-DBD) result in structural damage and loss of ER DNA-binding function, which parallels the situation observed in many ER-positive breast cancers. Quantitation of the redox status of cysteinyl thiols within ER-DBD employed cysteine-specific oxidants to induce varying degrees of oxidation in recombinant ER, followed by differential alkylation with the stable isotopic labeling reagents [12C2]-iodoacetic acid and [13C2]-bromoacetic acid. Subsequent proteolysis with LysC/Asp-N generated diagnostic peptides of which the C-terminal peptide of the second zinc finger is most strongly detected by mass spectrometry (MS) and serves as a suitable marker of ER-DBD redox status. Data were collected from two different MALDI-MS instruments: a time-of-flight and a linear ion trap (vMALDI-LIT). An analogous but larger synthetic peptide treated with three isotopic variants of the alkylating reagent modeled isotopic overlaps that might complicate the relative quantitation of cysteine oxidation. Despite the isotopic overlaps, excellent relative quantitation was achieved from MS data obtained from both instruments. This was also true of tandem MS/MS data from the vMALDI-LIT, which should facilitate selected reaction monitoring. Relative quantitation by MS also closely matched data from immunochemical methods.
雌激素受体DNA结合结构域(ER-DBD)的两个Cys4锌指内巯基的氧化还原依赖性修饰导致结构损伤和ER DNA结合功能丧失,这与许多ER阳性乳腺癌中观察到的情况相似。采用半胱氨酸特异性氧化剂诱导重组ER中不同程度的氧化,随后用稳定同位素标记试剂[12C2]-碘乙酸和[13C2]-溴乙酸进行差异烷基化,以定量ER-DBD内半胱氨酰硫醇的氧化还原状态。随后用LysC/Asp-N进行蛋白水解,产生诊断性肽段,其中第二个锌指的C末端肽段通过质谱(MS)检测最为强烈,可作为ER-DBD氧化还原状态的合适标记。数据采集自两种不同的基质辅助激光解吸电离质谱仪:飞行时间质谱仪和线性离子阱(vMALDI-LIT)。用烷基化试剂的三种同位素变体处理的类似但更大的合成肽模拟了可能使半胱氨酸氧化相对定量复杂化的同位素重叠。尽管存在同位素重叠,但从两台仪器获得的MS数据实现了出色的相对定量。vMALDI-LIT的串联MS/MS数据也是如此,这应有助于选择反应监测。MS的相对定量也与免疫化学方法的数据密切匹配。